PCB-QA is the first QA benchmark for LLMs on printed circuit board designs, with Gemini 3 Flash Preview reaching 93% accuracy on a JSON textual representation.
Preprint (2024)
4 Pith papers cite this work. Polarity classification is still indexing.
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RadioMaster is a multi-agent system that autonomously generates radio signals from user input using domain knowledge retrieval, collaborative I/Q sample creation, and closed-loop verification, outperforming baselines on the new RadioBench benchmark.
A literature survey finds foundation-model agents in industry are 75% at prototype stages with gains in human interaction and uncertainty handling but deficits in negotiation, plus limitations like hallucinations and latency.
Survey of GenAI in PCB design lifecycle presenting taxonomy, technical challenges, and research directions.
citing papers explorer
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PCB-QA: Evaluating LLMs over the First Printed Circuit Board Design Question-Answer Dataset
PCB-QA is the first QA benchmark for LLMs on printed circuit board designs, with Gemini 3 Flash Preview reaching 93% accuracy on a JSON textual representation.
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RadioMaster: Multi-Agent System for Autonomous Radio Signal Generation
RadioMaster is a multi-agent system that autonomously generates radio signals from user input using domain knowledge retrieval, collaborative I/Q sample creation, and closed-loop verification, outperforming baselines on the new RadioBench benchmark.
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Foundation-Model-Based Agents in Industrial Automation: Purposes, Capabilities, and Open Challenges
A literature survey finds foundation-model agents in industry are 75% at prototype stages with gains in human interaction and uncertainty handling but deficits in negotiation, plus limitations like hallucinations and latency.
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Surveying GenAI-based Automation in Printed Circuit Board Design and Test
Survey of GenAI in PCB design lifecycle presenting taxonomy, technical challenges, and research directions.